Christian Böhm 0001
64 publications
9 venues
H Index 24
Affiliation
University of Vienna, AustriaLudwig Maximilian University of Munich, Germany
Links
| Name | Venue | Year | citations |
|---|---|---|---|
Weakly Supervised Anomaly Detection via Dual-Tailed Kernel.
|
ICML | 2025 | 0 |
| MNN-Closure Meets Local Maxima: A Double-Knee Approach to Anomaly Detection.
|
ICDM | 2025 | 0 |
| DMDHC: Discovery of Multi-Density Hierarchical Cluster Structures.
|
SDM | 2025 | 0 |
| Scalable Graph Classification via Random Walk Fingerprints (Extended Abstract).
|
IJCAI | 2025 | 0 |
| SHADE: Deep Density-based Clustering.
|
ICDM | 2024 | 1 |
| ADOD: Adaptive Density Outlier Detection.
|
ICDM | 2024 | 3 |
| DynoGraph: Dynamic Graph Construction for Nonlinear Dimensionality Reduction.
|
ICDM | 2024 | 0 |
| Scalable Graph Classification via Random Walk Fingerprints.
|
ICDM | 2024 | 4 |
| Application of Deep Clustering Algorithms.
|
CIKM | 2023 | 0 |
| k-SubMix: Common Subspace Clustering on Mixed-Type Data.
|
ECML/PKDD | 2023 | 0 |
| Extension of the Dip-test Repertoire - Efficient and Differentiable p-value Calculation for Clustering.
|
SDM | 2023 | 4 |
| Interpretable Subgraph Feature Extraction for Hyperlink Prediction.
|
ICDM | 2023 | 2 |
| Influence without Authority: Maximizing Information Coverage in Hypergraphs.
|
SDM | 2023 | 4 |
| DBHD: Density-based clustering for highly varying density.
|
ICDM | 2022 | 2 |
| The DipEncoder: Enforcing Multimodality in Autoencoders.
|
KDD | 2022 | 11 |
| Deep Clustering With Consensus Representations.
|
ICDM | 2022 | 7 |
| Automatic Parameter Selection for Non-Redundant Clustering.
|
SDM | 2022 | 0 |
| Density-Based Clustering for Adaptive Density Variation.
|
ICDM | 2021 | 13 |
| Details (Don't) Matter: Isolating Cluster Information in Deep Embedded Spaces.
|
IJCAI | 2021 | 16 |
| Dip-based Deep Embedded Clustering with k-Estimation.
|
KDD | 2021 | 27 |
| Community Attention Network for Semi-supervised Node Classification.
|
ICDM | 2020 | 3 |
| Deep Embedded Non-Redundant Clustering.
|
AAAI | 2020 | 28 |
| Data Compression as a Comprehensive Framework for Graph Drawing and Representation Learning.
|
KDD | 2020 | 8 |
| Online Semi-supervised Multi-label Classification with Label Compression and Local Smooth Regression.
|
IJCAI | 2020 | 20 |
| Deep Embedded Cluster Tree.
|
ICDM | 2019 | 15 |
| Network Structure and Transfer Behaviors Embedding via Deep Prediction Model.
|
AAAI | 2019 | 11 |
| Clustering of Mixed-Type Data Considering Concept Hierarchies.
|
PAKDD | 2019 | 0 |
| Discovering Non-Redundant K-means Clusterings in Optimal Subspaces.
|
KDD | 2018 | 27 |
| Towards an Optimal Subspace for K-Means.
|
KDD | 2017 | 27 |
| Learning from Labeled and Unlabeled Vertices in Networks.
|
KDD | 2017 | 13 |
| Attributed Graph Clustering with Unimodal Normalized Cut.
|
ECML/PKDD | 2017 | 23 |
| Multi-core K-means.
|
SDM | 2017 | 19 |
| FUSE: Full Spectral Clustering.
|
KDD | 2016 | 34 |
| MeGS: Partitioning Meaningful Subgraph Structures Using Minimum Description Length.
|
ICDM | 2016 | 16 |
| Gaussian Component Based Index for GMMs.
|
ICDM | 2016 | 5 |
| Finding the Optimal Subspace for Clustering.
|
ICDM | 2014 | 27 |
| Active Density-Based Clustering.
|
ICDM | 2013 | 34 |
| Massively parallel expectation maximization using graphics processing units.
|
KDD | 2013 | 20 |
| Robust Synchronization-Based Graph Clustering.
|
PAKDD | 2013 | 20 |
| Efficient Anytime Density-based Clustering.
|
SDM | 2013 | 27 |
| Compression-Based Graph Mining Exploiting Structure Primitives.
|
ICDM | 2013 | 13 |
| Summarization-based mining bipartite graphs.
|
KDD | 2012 | 23 |
| Weighted Graph Compression for Parameter-free Clustering With PaCCo.
|
SDM | 2011 | 10 |
| INCONCO: interpretable clustering of numerical and categorical objects.
|
KDD | 2011 | 41 |
| Detection of Arbitrarily Oriented Synchronized Clusters in High-Dimensional Data.
|
ICDM | 2011 | 28 |
| Integrative Parameter-Free Clustering of Data with Mixed Type Attributes.
|
PAKDD | 2010 | 23 |
| Clustering by synchronization.
|
KDD | 2010 | 87 |
| SkyDist: Data Mining on Skyline Objects.
|
PAKDD | 2010 | 5 |
| ITCH: Information-Theoretic Cluster Hierarchies.
|
ECML/PKDD | 2010 | 10 |
| Synchronization Based Outlier Detection.
|
ECML/PKDD | 2010 | 15 |
| Density-based clustering using graphics processors.
|
CIKM | 2009 | 98 |
| Probabilistic skyline queries.
|
CIKM | 2009 | 45 |
| CoCo: coding cost for parameter-free outlier detection.
|
KDD | 2009 | 50 |
| Robust Clustering in Arbitrarily Oriented Subspaces.
|
SDM | 2008 | 33 |
| Robust, Complete, and Efficient Correlation Clustering.
|
SDM | 2007 | 70 |
| Approximate reverse k-nearest neighbor queries in general metric spaces.
|
CIKM | 2006 | 16 |
| Deriving quantitative models for correlation clusters.
|
KDD | 2006 | 40 |
| Finding Hierarchies of Subspace Clusters.
|
ECML/PKDD | 2006 | 60 |
| Robust information-theoretic clustering.
|
KDD | 2006 | 56 |
| DeLi-Clu: Boosting Robustness, Completeness, Usability, and Efficiency of Hierarchical Clustering by a Closest Pair Ranking.
|
PAKDD | 2006 | 68 |
| Online Hierarchical Clustering in a Data Warehouse Environment.
|
ICDM | 2005 | 24 |
| Density Connected Clustering with Local Subspace Preferences.
|
ICDM | 2004 | 191 |
| High Performance Data Mining Using the Nearest Neighbor Join.
|
ICDM | 2002 | 46 |
| High Performance Clustering Based on the Similarity Join.
|
CIKM | 2000 | 66 |